Please use this identifier to cite or link to this item: https://libjncir.jncasr.ac.in/xmlui/handle/123456789/3452
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dc.contributor.advisorWaghmare, Umesh V.
dc.contributor.authorKumar, Narendra
dc.date.accessioned2025-09-19T11:20:03Z
dc.date.available2025-09-19T11:20:03Z
dc.date.issued2023-12
dc.identifier.citationKumar, Narendra. 2023, Machine-learning and first-principles modelling: from dielectric breakdown in solids to mechanical behavior of high-entropy alloys, Ph.D thesis, Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluruen_US
dc.identifier.urihttps://libjncir.jncasr.ac.in/xmlui/handle/123456789/3452
dc.descriptionOpen accessen_US
dc.description.abstractAbstract not availableen_US
dc.language.isoenen_US
dc.publisherJawaharlal Nehru Centre for Advanced Scientific Researchen_US
dc.subjectAlloysen_US
dc.subjectDielectricsen_US
dc.subjectMachine-Learning
dc.titleMachine-learning and first-principles modelling: from dielectric breakdown in solids to mechanical behavior of high-entropy alloysen_US
dc.typeThesisen_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhDen_US
dc.publisher.departmenttsuen_US
Appears in Collections:Student Theses (TSU)

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